m3_get_mort_o3_ecoloss: m3_get_mort_o3_ecoloss

In JGCRI/rfasst: rfasst

m3_get_mort_o3_ecoloss

Description

Produce economic damages associated with premature mortality attributable to O3 (M6M) exposure based on the IER functions from Jerret et al (2009), consistent with the GBD 2016 study. The economic valuation takes as a base value the widely accepted Value of Statistical Life (VSL) of the OECD for 2005. This value, according to the literature ranges between US$1.8 and $4.5 million. The calculations for all regions are based on the “unit value transfer approach” which adjusts the VSL according to their GDP and GDP growth rates. (Markandya et al 2018)

Usage

m3_get_mort_o3_ecoloss(
  db_path,
  query_path,
  db_name,
  prj_name,
  scen_name,
  final_db_year = 2100,
  mort_param = "mort_o3_gbd2016_med",
  Damage_vsl_range = "Damage_vsl_med",
  ssp = "SSP2",
  queries,
  saveOutput = T,
  map = F,
  anim = T
)

Arguments

db_path	Path to the GCAM database
query_path	Path to the query file
db_name	Name of the GCAM database
prj_name	Name of the rgcam project. This can be an existing project, or, if not, this will be the name
scen_name	Name of the GCAM scenario to be processed
final_db_year	Final year in the GCAM database (this allows to process databases with user-defined "stop periods")
mort_param	Select the health function (GBD 2016 or Jerret et al 2009) and the Low/Med/High RR. By default = mort_o3_gbd2016_med
Damage_vsl_range	Select the VSL to calculate the damages (Damage_vsl_med, Damage_vsl_low, or Damage_vsl_high)
ssp	Set the ssp narrative associated to the GCAM scenario. c("SSP1","SSP2","SSP3","SSP4","SSP5"). By default is SSP2
queries	Name of the GCAM query file. The file by default includes the queries required to run rfasst
saveOutput	Writes the emission files.By default=T
map	Produce the maps. By default=F
anim	If set to T, produces multi-year animations. By default=T

Value

Economic damages associated with mortality attributable to O3 (M6M) exposure for each TM5-FASST regions for all years (Million$2015). The list of countries that form each region and the full name of the region can be found in Table S2.2 in the TM5-FASST documentation paper: Van Dingenen, R., Dentener, F., Crippa, M., Leitao, J., Marmer, E., Rao, S., Solazzo, E. and Valentini, L., 2018. TM5-FASST: a global atmospheric source-receptor model for rapid impact analysis of emission changes on air quality and short-lived climate pollutants. Atmospheric Chemistry and Physics, 18(21), pp.16173-16211.

Source

Jerrett, M., Burnett, R.T., Pope III, C.A., Ito, K., Thurston, G., Krewski, D., Shi, Y., Calle, E. and Thun, M., 2009. Long-term ozone exposure and mortality. New England Journal of Medicine, 360(11), pp.1085-1095.//// Markandya, A., Sampedro, J., Smith, S.J., Van Dingenen, R., Pizarro-Irizar, C., Arto, I. and González-Eguino, M., 2018. Health co-benefits from air pollution and mitigation costs of the Paris Agreement: a modelling study. The Lancet Planetary Health, 2(3), pp.e126-e133.

JGCRI/rfasst documentation built on Feb. 2, 2023, 12:14 a.m.